Interactive Tools for Functional Annotation of Bacterial Genomes
Abstract
Automated annotations of protein function are error-prone because of our lack of knowledge of protein functions. For example, it is often impossible to predict the correct substrate for an enzyme or a transporter. Furthermore, much of the knowledge that we do have about the functions of proteins is missing from the underlying databases. We discuss how to use interactive tools to quickly find different kinds of information relevant to a proteins function. Combining these tools often allows us to infer a proteins function. Ideally, accurate annotations would allow us to predict a bacteriums capabilities from its genome sequence, but in practice, this remains challenging. We describe interactive tools that infer potential capabilities from a genome sequence or that search a genome to find proteins that might perform a specific function of interest.
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